Understanding Map Reduce The missing guide
Understanding Map Reduce The missing guide
Understanding Map Reduce The missing guide
Let’s create an application which will use spring data jpa to store the user into the database.
Understanding Inner , Outer , left Outer , Right Outer Joins and Cartesian Product
Utils for various Avro Pojo Transformation needed in spark
In this blog we will create the custom annotation using spring and aspectj lib. So let’s assume that we have a rest API and we want to validate the request object for post requests.
Write a csv file from Spark ,
Let’s have a look how we can encrypt the user’s password before inserting into the database. Spring provides the PasswordEncoder interface which has multiple implementation. For example let’s use StandardPasswordEncoder.
A standard PasswordEncoder implementation that uses SHA-256 hashing with 1024 iterations and a random 8-byte random salt value. It uses an additional system-wide secret value to provide additional protection.
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Data Frame Join in Spark (shuffle join )
Broadcast Join
Map Side Join in Spark